Artificial intelligence in media systems
Radio and television
Bibliographic Data
| ID | 21421662 |
|---|---|
| Authors | Tatjana Ćitić (0000-0002-8552-983X, Univerzitet Union Nikola Tesla, corresponding author) |
| Year | 2020 |
| Volume | 54 |
| Issue | 4 |
| Pages | 1329-1345 |
| Publication date | 2020-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Socioloski pregled (JOURNAL) |
| Journal identifiers | ISSN: 0085-6320 • E-ISSN: 2560-4880 |
| Publisher | Centre for Evaluation in Education and Science (CEON/CEES) (PUBLISHER) |
| DOI | 10.5937/socpreg54-29621 |
| OpenAlex | W3125544312 |
| Language | EN |
| Citations received | 4 |
| References cited | 1 |
The development of radio and television is accompanied by technological innovations in the field of business, production, storage and placement of the content. This paper is focused on the application of digital technology which has brought revolutionary possibilities to the media systems in the optimization and integration of work processes, maximum use of resources, time saving, as well as easier exploitation of archived materials and the content placement on digital platforms. The basic thesis of the paper is that the application of artificial intelligence in modern radio-television systems may have positive effects on more efficient business operations, as well as product quality, integration and efficiency of employees' work with the aim of improving the quality of reporting and creating a new user experience in content consumption
Consumption (sociology) · Digital television · Field (mathematics) · Multimedia · Product (mathematics) · Production (economics) · Quality (philosophy) · Telecommunications · Work (physics) · Computer Science · Engineering · Multimedia Communication and Technology · Telecommunications and Broadcasting Technologies · Video Analysis and Summarization
| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2025 (6) |
| Highly cited | No |